Patient Tailored System and Process For Treating ASD and ADHD Conditions Using Music Therapy &amp; Mindfulness with Indian Classical Music

ABSTRACT

A method, system and processes to develop a patient tailored music therapy based on Indian Classical Music compositions to treat ASD (Autistic Spectrum Disorders) and ADHD (Attention Deficit Hyperactivity Disorder) is described. According to this present invention there is provided a method to develop a tailored music therapy for treating patients suffering from ASD (Autistic Spectrum Disorders) and ADHD (Attention Deficit Hyperactivity Disorder) based on the patient&#39;s response and a system to measure response of the patient to music therapy and mindfulness inputs. This invention comprises of a process to determine suitable Indian Classical Music compositions playlist for use in treating the patient (FIG.  1 ) followed by further tuning of the selections allowable note levels, ramp up and ramp down times to and from allowable note levels, melody hold times and rhythm pattern selection to develop an optimum waveform (FIG.  2 ) all based on measuring the patient response using a multiple input—physical movement, audio and brain wave response measurement system (FIG.  3 ) or thru visual observations. The invention also provides a process to determine daily therapy and mindfulness time and a process for monthly music therapy and mindfulness tailoring. The invention also provides a system (FIG.  3 ) to measure patient response to the music therapy and mindfulness, which can be used in conjunction with or in place of visual observations. In this invention the patient starts off with a therapy and mindfulness tailoring session where a playlist of Indian Classical Music Raga compositions is first developed, selected based on the patient&#39;s response as measured by the system provided in FIG.  3  or thru visual observations. Then patient specific optimum note level, beat rhythm pattern and rhythm pattern frequency, ramp up to and down times from optimum note levels are determined based on the patient&#39;s response to create a waveform (FIG.  2 ). The playlist selections are then modified manually or by a computer program using the waveform parameters and when played to the patient elicits a Calm Range Response pattern defined by a state of stimulated mindfulness but not falling asleep characterized by specific range of motion, audio or brain wave response unique to the patient. The specific pieces of the waveform are derived by varying waveform parameters and measuring the response of the patient (FIGS.  4  A, B, C, D) using the response measuring system (FIG.  3 ) or thru visual observations. The invention also describes a process to develop daily listening period duration (FIG.  5 ). The invention describes a process used to develop a tailored therapy and mindfulness regimen tuned to the patient using response collected over a specific period of time (FIG.  6 ). The invention further describes a system and apparatus which dynamically measures multiple inputs—movement, voice and brain wave response of the patient in response to the music therapy and mindfulness playlist modified by the therapy and mindfulness waveform manually or automatically by software, and a software dashboard and database which collects data across a period of time and can show progress of patient during exposure to music therapy and mindfulness (FIG.  3 ). The invention results in a music therapy tailored to the patient.

BACKGROUND OF THE INVENTION 1. Field of the Invention

The present invention relates generally to music therapy and mindfulnessfor treating patients with ASD (Autism Spectrum Disorder) and ADHD(Attention Deficit Hyperactivity Disorder). More particularly thisinvention relates to creating a method to measure response of a patientto music therapy and mindfulness inputs, developing processes to createa music therapy and mindfulness input waveform and developing a patienttailored music therapy and mindfulness regimen based on Indian ClassicalMusic Compositions (Ragas).

Current approaches to treating autism use a complex combination of drugsto treat symptoms such as anxiety, depression, OCD etc. Also, otherdrugs have often to be prescribed to combat the side effects of theprimary drugs. These approaches do not treat the core behavior issueswhich are attributed to autism such as communication, repetition andsocial interaction. Music therapy and mindfulness offers alternate andmore importantly a noninvasive method to treating both the behaviorissues and symptoms associated with autism.

2. Prior Art

A method for composing music to improve individuals ultradian andcircadian chronobiological rhythms using vocal incented languageelements based on pre-verbal communication such as lullabies usedbetween mother and babies in pre-verbal communications has beendescribed in prior art. This method described in US Patent 20140249358A1also incorporates changing tempo and volume and including a frequencyspectrum in the music of the rhythms to interact with an individual'sultradian and chronobiological rhythm.

A method has been disclosed for re-habilitation of a patient having aphysical impairment by providing music therapy given by a method whichincludes receiving biometric data from the patient regarding repetitivemovements of the patient, analyzing the biomechanical data and makingthe patient perform repetitive movements in conjunction with the music.In this method described in US Patent application US20170296116A1,biomechanical data is received from the patient regarding repetitivemovements of the patient and determining a baseline condition,determining a baseline music beat tempo having a constant frequencycorresponding to the patients baseline condition, making the patientperform repetitive movements at the baseline beat tempo, analyzing thebiomechanical feedback from the patient and changing the beat tempobased on a “entrainment parameter” and determining whether a goal beattempo has been reached. a baseline condition and making changes to thetempo to ascertain whether a goal music tempo has been reached.

A method has been disclosed in US Patent 20100191037A1 where a musictherapy is used in combination with cancer therapy. In this disclosurethe mood of the patient is altered from an initial state to a targetmood by exposing the patient to a playlist, selecting a music to startbased on the mood of the patient and then changing progressively tosongs in the playlist with either higher beats or lower beats dependingon the starting mood of the patient till the patient reaches a targetmood.

SUMMARY

A method, system and processes to develop a patient tailored musictherapy and mindfulness based on Indian Classical Music compositions totreat ASD (Autistic Spectrum Disorders) and ADHD (Attention DeficitHyperactivity Disorder) is claimed. This invention comprises of aprocess to determine suitable Indian Classical Music compositionsplaylist for use in treating the patient, followed by further tuning ofthe selections allowable note levels, ramp up and ramp down times to andfrom allowable note levels, melody hold times and rhythm patternselection to develop an optimum waveform (all based on measuring thepatient response using a multiple input—physical movement, audio andbrain wave response measurement system or thru visual observations. Theinvention also provides a process to determine daily therapy andmindfulness time and a process for monthly music therapy and mindfulnesstailoring. The invention also provides a system to measure patientresponse to the music therapy and mindfulness, which can be used inconjunction with or in place of visual observations. The invention alsodescribes the building of an optimum therapy and mindfulness waveformunique to and tuned to the patient's needs.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 describes method and process to determine the Indian ClassicalMusic compositions which comprise the playlist for the music therapy andmindfulness.

FIG. 2 is a drawing which shows the optimized music therapy andmindfulness waveform and its components.

FIG. 3 is a drawing which shows the music therapy and mindfulnessresponse measurement system.

FIG. 4A shows the method to determine the allowable note level L2 of themusic therapy and mindfulness waveform.

FIG. 4B shows the method to determine the ramp up time of the optimizedmusic therapy and mindfulness waveform.

FIG. 4C shows the method to determine the melody hold time at allowablenote level of the music therapy and mindfulness waveform.4

FIG. 4D shows the method to determine the ramp down times from allowablenote level of the music therapy and mindfulness waveform

FIG. 4E shows the method to select the rhythm pattern of the optimizedtherapy and mindfulness waveform.

FIG. 4F is a diagram which outlines the method to determine the rhythmpattern frequency per minute of the optimized therapy and mindfulnesswaveform.

FIG. 5 shows the method to determine the daily music therapy andmindfulness time.

FIG. 6 shows the method to tune and tailor the music therapy andmindfulness based on the response of the patient.

DETAILED DESCRIPTION OF THE INVENTION

Research on autistic children by the inventor using certain specificIndian Classical Music compositions (Ragas) has shown these compositions(Ragas) to have a beneficial effect on mindfulness. Indian ragas havedifferent beat patterns and tempos interspersed in the compositions.Some Raga compositions were observed to have calming effects, whereasothers created restlessness in some of the children. Tempos and beatpatterns also induced different states in the children. Research hasshown that beneficial effects are obtained with modification of rhythmpattern frequency, tempos, note levels, hold times at certain notelevels. Beneficial effects were also observed for specific listeningtimes and how tempo and note levels are changed during the therapy andmindfulness session. The therapy and mindfulness composition (Raga)becomes different from the compositions (Ragas) which are normallyperformed live or recorded in albums.

Research also showed that note levels, rhythm pattern frequencies, hold,ramp up and ramp down times (how quickly note levels are changed fromone level to another) (FIG. 2) could be tailored for individual childpatients in addition to specific raga composition selections. Researchconducted by the inventors showed that the child patient exposed to thetherapy and mindfulness exhibits reaction to the music with for exampletype and pattern of movements, speech indicators, following along withthe music by humming and snapping fingers with the beat. IndianClassical Music compositions have mainly three types of major rhythmpatterns or patterns with certain number of beats. The three rhythmpatterns are Kaharba (8 beat pattern), Ek Taal (12 beat pattern) andTeen Taal (16 beat pattern). Research has shown Ek Taal and Teen Taal tohave beneficial effects on most patients. The three rhythm patterns havebeen used to construct the optimized waveform, though other rhythmpatterns can also be used. The process described in this inventionstarts out with concert type 14 rhythm patterns per minute type ofpattern frequency which is then modified to each patients' requirements.The right music composition, rhythm pattern, rhythm pattern frequency,note levels, ramp up and ramp down times to and from optimum note levelsis herein defined as “calm range response pattern” which characterizesthe target mindfulness for therapy and mindfulness which can be specificto the child/patient.

In view of the prior art, it is an object of the current invention toprovide a process for treating children and patients with autism whichcan be dynamically tailored to the child's/patient's needs. Thisapproach uses Indian Classical Music compositions (Ragas), a methodusing visual observations to manually measure or sensors toautomatically measure response of the child or patient to the therapyand mindfulness to tune the music therapy and mindfulness to thechild's/patient's needs, a computer-based program (computer orsmartphone) which in conjunction with a data acquisition system cancollect sensor input, select specific ragas based on sensor inputmeasuring the child patient's response, alter the music therapy andmindfulness composition note levels, rhythm beat frequencies based onsensor input which when played to the patient creates a state of optimummindfulness defined as calm range response pattern which if elicited inthe child for specific periods of time daily will result in a tailoredtherapy and mindfulness for the child.

According to the first aspect of the invention there is provided aprocess and system for music therapy and mindfulness to treat childrenwith ASD (Autistic Spectrum Disorders) and ADHD (Attention DeficitHyperactivity Disorder). The process consists of exposing the childpatient to a set of Indian Classical Music Compositions (known asRagas), determining the right raga music compositions which are optimumfor the child determined by the child exhibiting the “calm rangeresponse pattern”, creating a playlist from the selected raga musiccompositions, changing either using the computer program describedherein or manually, the note levels, times to ramp up to and ramp downfrom optimum note levels and beat frequency of the raga musiccompositions in the playlist to create an optimized therapy andmindfulness waveform processed playlist for sustained therapy andmindfulness, determining daily therapy and mindfulness time optimizedfor the child, determining a monthly playlist, a monthly modifiedwaveform which can then be used to modify the playlist and dailylistening time modification designed to capture the child's attentionand keep the child focused on the therapy and mindfulness and addressany deterioration of child's mindfulness caused by boredom with theprevious therapy and mindfulness regimen. The first aspect of theinvention also discloses a system for evaluating if the child hasreached the “calm range response pattern” using sensors attached to thechild to capture movement response and with or without a EEG sensorcapturing brainwave response, microphone capturing auditory responsefrom the child patient, a computer system which could be a conventionalcomputer with processors with a data acquisition system or asmartphone/tablet with built in data acquisition to capture the data, asoftware program developed to analyze the data captured in response tothe Indian Classical Music composition based music therapy andmindfulness which could be a program for a conventional computer or anapp on a smartphone to analyze the data at a pre-determined frequencyand present compiled results through a dashboard on the conventionalcomputer or using an app on a smartphone/tablet, a system to upload themusic therapy and mindfulness response data from the computer orsmartphone/tablet to a data cloud for storage using a WIFI or CellularConnection with the option of also storing the data locally on thecomputer or smartphone/tablet, a dashboard which displays the resultscomputed by the software program described in this aspect of theinvention or smartphone/tablet app to monitor and track progress of thechild during the course of the therapy and mindfulness and indicate whena therapy and mindfulness modification is required. The system also usesa medium to store the Indian classical music composition (raga)playlist, Indian classical music composition (raga) music library forthe therapy and mindfulness. The system also uses a music system orsmartphone/tablet to play the playlist raga compositions to the childand patient. Visual observations can also be used to determine if thechild and patient has reached target “calm range response” in responseto the music therapy.

In the second aspect of the invention there is disclosed that a musiclibrary can be created composed of Indian Classical Music compositions(ragas) which when tailored to the patient's needs in the form of aoptimized therapy and mindfulness waveform (FIG. 2) and played to thepatient can bring an autistic or ADHD patient to a “calm range responsepattern” which if sustained over a period of time can reduce symptoms ofautism such as but not limited to repetitive movements, restlessness,social skill challenges and speech.

In the third aspect of the invention there is disclosed that IndianClassical Ragas can be tailored to a patient's needs to get the patientto a beneficial “calm range response pattern” by altering rhythm patternfrequency, note levels, ramp up and ramp down times to and from optimumnote levels to create an optimized therapy waveform (FIG. 2). Thetherapy waveform parameters are then used to modify the playlistautomatically using the computer program described herein or manually.The modified playlist when played to the patient over specific sustainedperiod of music therapy elicits “calm range response”. The musicwaveform approach has primarily used Indian Classical Music Ragacompositions, but the approach can cover all types of music compositionssuch as but not limited to Western Classical Music, soft rock, pop etc.

In the fourth aspect of the invention there is disclosed a “calm rangeresponse pattern” exhibited by the patient defined as a state ofstimulated mindfulness but not falling asleep characterized by specificrange of motion, audio or brain wave state unique to the patient whichis a weighted average of movement frequency, speech response such ashumming and with or without brain waveform response. This “calm rangeresponse pattern” can vary from patient to patient and is specific tothe individual patient. The weighting method is tuned to the patient.Other data aggregating methods other than weighting can also be used. Inthe beginning of the therapy an initial “calm range response pattern” isdetermined thru visual observations and then correlating the sensor datacorresponding to when visual observation indicates calm range responsepattern is reached. This set of observations and correspondingmeasurements can be unique to each patient. The process can also beautomated thru using the sensor measurements and having a softwareprogram determine when response variations reach a stable state whichcan be unique to each patient.

In the fifth aspect of the invention shown in FIG. 3 there is provided asystem for measuring the response to the tailored music therapy forevaluating if the child has reached a “calm range response pattern” inresponse to the tailored music therapy. In this system sensors forcapturing response data as the patient listens to the waveform modifiedmusic therapy playlist such as but not limited to accelerometer, audiomicrophones and EEG sensors are attached to the child during therapysessions. The accelerometer and audio microphone could also be combinedin the form of a “smartphone” or tablet having these sensors andattached to the patient. The system disclosed also has a data recorderwhich captures the data. The data recorder can be a separate system orcan be integrated into a smartphone or tablet type of device. Theresponse data collected from the patient is aggregated using a weightedalgorithm by a data analyzer. The aggregated data in the beginning ofthe therapy is correlated with physical observations in in the initialpart of the process to define Calm range response Pattern for thespecific patient which then becomes the target calm range responsestate. The ongoing data measurements continuously compare the acquireddata to the aggregated sensor measurements data corresponding to thecalm range response pattern to ensure calm range response pattern isbeing reached or maintained and measure any deviations from target “calmrange response pattern” measurements of the patient. Deviations from“calm range response pattern” measured are used to trigger changes inthe waveform and therapy exposure time periods and duration. The dataanalyzer can be a hardware with firmware performing the data acquisitionand computation or a software on a computer, a cloud-based software oran app on a smartphone. The data analyzer uploads the aggregated and rawdata using an internet connection which can be a WIFI connection asshown in FIG. 3 or can be a hard wired ethernet connection. A displaydashboard software then downloads the data from the data cloud anddisplays the patient response measurements in a dashboard. The softwarefor data collection, data analysis and dashboard can be separateprograms or a single program on a conventional computer or a smartphoneor tablet-based app. The storage of the data can be local on a computer,on a tablet or on a data cloud system. The music therapy playlist isplayed on a sound system or a smartphone or a handheld tablet.

In the sixth aspect of the innovation there is described a process shownin FIG. 1 for selecting the Indian classical music compositions (ragas)making up the playlist. The process starts with selecting an initial setof 10 ragas based on initial observations of the patient's symptoms. Theplaylist is played to the patient and the patient's response is measuredquantitatively using the system shown in FIG. 3 and disclosed as thefifth aspect of the innovation or qualitatively thru visualobservations. The patient's response is measured and compared againstthe patient's calm range response pattern. If the playlist generates acalm range response pattern from the patient, then the playlist isfinalized as the therapy playlist. If the selection set does notgenerate a calm response pattern, then the playlist compositions arereplaced by the next 10 ragas. The process is repeated until a calmresponse pattern is generated and the playlist is then finalized as thestarting music therapy playlist.

In the seventh aspect of the innovation there is described a process fordetermining the various parts of the optimized therapy waveform withassociated rhythm pattern and rhythm pattern frequency. The process isshown in FIGS. 4A, 4B, 4C and 4D. After selection of the playlist ofIndian Classical Music compositions (ragas), parameters such as notelevels, ramp up and ramp down times to and from allowable note levels(L2 in FIG. 2) and hold times at allowable note levels L2 decibels aredetermined to create the optimized waveform in FIG. 2. The Indianclassical music compositions (ragas) in the playlist are alteredmanually thru actual singing and recording the altered Indian ClassicalMusic composition (raga) or automatically thru a software program. Inthis tuning process, in the first part of the process, shown in FIG. 4A,the note level of the Indian classical music compositions (ragas) in theplaylist is optimized to produce a calm range response pattern. In thispart of the process, as shown in FIG. 4A, the Indian classical musiccompositions (ragas) in the playlist are played to the patient and thenote levels are steadily increased starting from a soft humming (LevelL1 in FIG. 2) in steps. At each step of the increase the patient'sresponse is measured qualitatively thru visual observations orquantitatively using the system shown in FIG. 3. If the current notelevel does not cause the patient response to shift from calm responsestate, then the note level is increased by 1 step to the next step andthe process is repeated. Notes are increased till the response patternshifts away from the calm response pattern, then the note level isdecreased to the previous step and finalized and is characterized bylevel L2 decibels (FIG. 2). At each note increase step the response ofthe patient is observed. In the second step described in FIG. 4B, aprocess is described to determine the ramp up time T2. This processstarts with the ragas in the playlist played to the patient by initialsoft humming at note level L1 for time T1. Then the note level of theplaylist is increased rapidly to note level L2 to elicit a response notat calm response state and the patient's response is measuredqualitatively thru visual observations or quantitatively using thesystem shown in FIG. 3. Then the ramp process of increasing the notelevels of the playlist is repeated but at 1 step slower and the modifiedragas in the playlist are played to the patient and the patient'sresponse is measured. If the patient response is not at calm response,then ramp up time is lengthened, and the process is repeated until thepatient reaches calm response state. This optimized ramp up time isfinalized as ramp up time T2 (FIG. 2). The next piece of the processdetermines the hold time T3 at optimum note level L2 (FIG. 2). Thisprocess is shown on FIG. 4C. The process shown in FIG. 4C starts withthe ragas in the playlist played to the patient with an initial holdtime at note level L2 chosen after observing the patient. The hold timeis then increased by X mins (the step change is dependent on patientobservation). The patient's response is measured qualitatively thruvisual observations or quantitatively using the system shown in FIG. 3.The response is checked to see if the patient has reached calm responsestate, if the state reached is not calm response state, then anadditional check is performed to see whether the patient istransitioning to a sleep state. If the patient is not reaching sleepstate, then the hold time at note level L2 is increased and the processis repeated. If it is observed that the patient has reached calmresponse pattern, then an additional check is performed to see if thepatient is transitioning to a sleep state. If the patient is nottransitioning to sleep state, then the hold time is again increased andthe ragas in the playlist are played to the patient. If the patient istransitioned to sleep state after calm state response is achieved, thenthe hold time is decreased by 2 increments and the hold time isdecreased by 2 increments and this decreased hold time level isfinalized as hold time T3 (FIG. 2). The next part of determining theoptimized therapy waveform is determining the ramp down time T4. Theprocess is shown in FIG. 4D. In this process after final hold time isdetermined, melody is ramped down using the final ramp up time T2 minsas a baseline. The response of the patient is measured qualitativelythru visual observation or quantitatively using the system shown in FIG.3. If the response is not Calm Range Response Pattern, then the rampdown time is increased from final hold time T3 and the process isrepeated till a calm range response pattern is maintained. This rampdown time is then finalized as time T4 mins. If the ramp down time usingthe baseline time T2 mins results in maintaining the calm range responsepattern, then the ramp down time T4 mins is the same as ramp up time T2mins. The next part of determining the optimized waveform is to selectthe rhythm pattern most suitable for the patient. The process ofselecting the optimum waveform is shown in FIG. 4E. In this process thepatient is initially exposed to raga composition in the playlist usingone of the three rhythm patterns Kaharba (8 beats) or Ek Taal (12 beats)or Teen Taal (16 beats). The response of the patient is measuredqualitatively thru visual observation or quantitatively using the systemshown in FIG. 3. If the response is not Calm Range Response Pattern,then the process is repeated using the other two rhythm patterns. If theresponse obtained from the patient is Calm Range response Pattern, thenthe rhythm pattern is finalized. The final part of determining theoptimized waveform is determining rhythm pattern frequency also known asthe beat frequency. The process starts with playing the Indian ClassicalMusic compositions in the playlist using the optimum rhythm pattern andstarting with normal concert performance style 12 beats per minute. Theresponse of the patient is measured qualitatively thru visualobservation or quantitatively using the system shown in FIG. 3. If theresponse is not Calm Range Response Pattern, then the beat frequency isreduced, and the response of the patient is measured. When the beatfrequency generates a Calm Range Response from the patient then thatfrequency is finalized as the optimized beat frequency.

In the eighth aspect of the innovation, there is described a processshown in FIG. 5 for determining the daily therapy time tailored for thepatient. The process starts with exposing the patient to the Indianclassical music composition (raga) playlist modified by the tailoredwaveform for 5 mins. The response of the patient is measuredqualitatively thru visual observation or quantitatively using the systemdescribed in FIG. 3. If calm range response pattern is observed thelistening time is finalized as the minimum listening time. If the calmrange response pattern is not obtained, then the listening time isincreased in steps of 5 mins or a time increment suitable for thepatient based on observation and the process is repeated till a calmrange response pattern is obtained. This becomes the minimum listeningtime. The listening time is then steadily increased in steps of 5 minsand the patient's response is measured qualitatively using visualobservation or the system described in FIG. 3. If a calm range responsepattern is obtained, then the listening time is increased, and theprocess is repeated as shown in FIG. 5. If the response deviates fromthe calm range response pattern, then the maximum listening time isfixed at the previous increment. This process determines the dailylistening time.

In the ninth aspect of the invention, there is described a process totailor and tune the therapy every month or within the month ifdeviations from calm response pattern are observed. If the sameplaylist, waveform and daily listening time is continued unchanged forlong periods of time there is a chance that this may induce boredom orimpatience. This approach allows for altering the playlist, waveform anddaily listening time to keep tuning the therapy to the patient'sevolving needs. Data is collected manually or automatically using systemdescribed in FIG. 3 over the month or for a shorter duration of timewhen deviations are observed. If no deviations from Calm range responsepattern are observed and calm ranges response pattern has beenmaintained, then no changes are made to the therapy. If deviations areobserved from the calm range response pattern then the process fordetermining the playlist, waveform, and daily therapy time is repeatedfollowing processes in the first nine aspects of the innovation.

What is claimed is:
 1. A method to develop a tailored music therapybased on the patient's response and a system to measure response of thepatient to the music therapy input comprising: using Indian classicalmusic compositions to develop a music therapy for treating patients withASD (autism spectrum disorders) and ADHD (attention deficithyperactivity disorder) disorders; playlist/music library of Indianclassical music compositions also known as Ragas tailored to thepatient's needs in the form of an optimized therapy waveform (FIG. 2)and played to the patient can bring an autistic or ADHD patient to a“calm range response pattern”; modification of the Indian classicalmusic composition's (Ragas) note levels, rhythm pattern frequency, rampup to optimum note levels, holds at optimum note levels and ramp downfrom optimum note levels based on measurements of the patient's responseto develop an optimized therapy waveform tailored to the patients' needsand modification of all the playlist compositions to match the tailoredwaveform; “calm range response pattern” specific for each individualpatient which defines the target mood and behavior of the patient due tothe music and mindfulness therapy and unique to each patientcharacterized by a parameter including optimum physical movement, speechand brainwave response computed by using a weighted average of patient'sresponse to the music therapy including physical movement frequency,speech response such as humming and with or without brain waveformresponse; a system for capturing movement and brain response data inresponse to the optimized therapy waveform used to determine whether theresponse achieved is “calm range response pattern” which can beobservational, or computer implemented; computer implemented method ofcapturing response of the patient to the music therapy input to see if“calm range response pattern” is obtained and measure deviations from“calm range response patter” using multiple sensors attached to thepatient, storage of the data locally or in a software cloud, transfer ofthe data from the sensors to the storage device, transfer of the datafrom local storage device to a software cloud, aggregating the data fromthe multiple sensors and comparing against the data corresponding to“calm range response pattern” unique to the patient to see if calm rangeresponse pattern has been reached or not, modification of the parametersdescribed in this claim automatically to produce the music therapywaveform if required; process and method of selecting Indian classicalmusic compositions (ragas) based on whether they can bring an autisticor ADHD patient to exhibit a “calm range response pattern” usingresponse of the patient captured qualitatively or by the systemdescribed in this claim; Process and method for determining the variouselements of the music therapy waveform using response of the patientcaptured qualitatively or by the system described in this claim; Processand method for determining the daily therapy time tailored for thepatient using response of the patient captured qualitatively or by thesystem described in this claim; process and method to tune the therapymonthly or before if deviations from “calm range response pattern” areobserved using response of the patient captured qualitatively or by thesystem described in this claim.
 2. Application of Indian Classical MusicCompositions also known as Ragas as stated in claim 1 to develop a musictherapy and mindfulness for ASD (autistic spectrum disorders) and ADHD(Attention Deficit Hyperactivity Disorder) patients which can betailored to each individual patient's needs and this therapy andmindfulness if applied to the patient for daily periods of time resultsin reduction of ASD and ADHD symptoms.
 3. A playlist of Indian ClassicalMusic Compositions (Ragas) can be created as stated in claim 1 with aset of compositions chosen based on the response of the patient measuredqualitatively thru observation or quantitatively using the systemdescribed in claim 1 and this playlist which when modified and tailoredto an individual patient's needs using the optimized therapy waveformand which when played to the patient results in a “calm range response”from the patient, which if sustained over a period of time daily canreduce symptoms of autism such as but not limited to repetitivemovements, restlessness, social skill challenges and speech.
 4. A “calmrange response pattern” as described in claim 1: is defined as a stateof stimulated mindfulness but not sleep state and exhibiting certainmovement and or brain wave response and audio response, unique to eachpatient, can be induced in ASD and ADH patients thru daily music therapyinput based on the tailored therapy playlist in claim 3, which whensustained in a patient for daily periods of time will result inreduction of ASD and ADHD symptoms; is evaluated qualitatively usingobservations or measured quantitively using the system recited in claim1; is a weighted average of movement frequency, speech response such ashumming and with or without brain waveform response; this “calm rangeresponse pattern” can vary from patient to patient and is specific tothe individual patient.
 5. Weighting average method for aggregatingresponses described in claim 1 from the patient where the weightingfactors are tuned to the individual patient's condition and needs; otherdata aggregating methods other than weighted averaging can also be used.6. System for quantitatively measuring the response of the patient tothe music therapy for evaluating if the patient has reached a “calmrange response pattern” in response to the music therapy as stated inclaim 1 and FIG. 3 comprising: sensors for capturing therapy andmindfulness response such including movement, speech and/or brain waveresponse such as but not limited to accelerometers, audio microphonesand EEG sensors; connection from the therapy response measuring sensorsto the data recorder and acquisition box using cables/wires or wirelessmethods such as but not limited to Bluetooth; data recorder forcapturing the therapy response data; data analyzer connected to the datarecorder or integrated with the data recorder as a single unit foranalyzing and aggregating the therapy response data to evaluate if “calmrange response state has been reached”; storage device for storing theraw music therapy and data analyzer processed response data locally orin a data cloud; connection from the data recorder/acquisition and dataanalysis system to a local storage device using wired methods such ascables or non-wired methods such as but limited to Bluetooth or from thedata recorder/acquisition and analysis system to a data cloud usingmethods such as but not limited to WIFI, ZigBee and cellular; data cloudfor storage of daily and monthly raw and data analyzer processed musictherapy session data; software program which takes the therapy responsedata and displays a dashboard of the response including but not limitedto deviations from calm response state daily and monthly, movementrange, audio response frequency, brain wave response from EEG etc. 7.Sensor combination to capture the Indian Classical Music based therapyand mindfulness response as defined in claims 1 and 6 and shown in FIG.3 comprising of: Separate accelerometer attached to the patient's handswith accelerometer being a separate sensor or integrated into ansmartphone with patient holding the smartphone or having phone strappedto arm or being part of smartwatch worn by the patient, measuringmovement response to the music therapy or mindfulness; separatemicrophone to record audio response to the music therapy and mindfulnessin the form of a standalone microphone placed in front of the patient orattached to his body or in the form of a microphone integrated into asmartphone held by the patient or in the form of a smartwatch worn onthe wrist by the patient; separate headset or headband with EEG sensorsmeasuring brainwave response to music therapy and mindfulness inputs;combination of accelerometer and microphone integrated in a device suchas a smartphone or smartwatch.
 8. Data acquisition system forspecifically capturing response to the Indian Classical music basedtherapy and mindfulness inputs as defined in claims 1 and 6 and shown inFIG. 3 comprising: separate data acquisition board and box whichcaptures movement response to the music therapy and mindfulness inputthrough the accelerometer; separate data acquisition board and box whichcaptures audio response to the music therapy and mindfulness inputsthrough the microphone; separate data acquisition board and box whichcaptures brain response data through the EEG sensor in response to themusic therapy and mindfulness input. The data acquisition system canalso take the form of a single board and box which captures themovement, audio and brain response to the music therapy and mindfulnessinputs measured through the accelerometer, microphone and EEG sensorsystem. The data acquisition system can also take the form of a singleboard capturing all the sensor inputs. The data acquisition system canalso take the form of a smartphone, tablet or desktop computer withintegrated boards or laptop computer with integrated boards which allcan capture the movement, audio and brain response to the music therapyand mindfulness inputs measured through the accelerometer, microphoneand EEG sensor system.
 9. Storage for the raw Indian Classical basedmusic therapy movement, audio and brain response data collected asdescribed in claim 1, claim 6 and claim 7 and also processed data cantake the following but not limited to forms: hard drive of the desktopcomputer which contains the music therapy response capturing dataacquisition boards sufficiently fast enough to keep up with the dataacquisition rates; hard drive of laptop which contains the music therapyresponse capturing data acquisition boards sufficiently fast enough tokeep up with the data acquisition rates; smart phone or tablet equippedwith a music therapy data acquisition program able to capture theaccelerometer, microphone and EEG inputs; local storage in laptop orcomputer till data is uploaded to a data cloud using Wi-Fi or cellularconnections automatically at specified time intervals; permanent storageof the data in a data cloud.
 10. Transfer method of the music therapyresponse data from the sensors as described in claim 1, claim 6 andclaim 7 to the music therapy response capture data acquisition boardscan take the following but not limited to the following forms: Transferof the music therapy movement, audio and brain response data throughBluetooth to the data acquisition boards in a laptop computer; Transferof the music therapy movement, audio and brain response data throughBluetooth to the data acquisition boards in a desktop computer; Transferof the music therapy response data from the sensors to the music therapyresponse capture data acquisition boards to a mobile tablet or smartphone through Bluetooth; Transfer of the music therapy thru Bluetooth toa separate data storage device; Transfer of the music therapy movement,audio and brain response data through Wi-Fi to the data acquisitionboards in a laptop computer; Transfer of the music therapy movement,audio and brain response data through Wi-Fi to the data acquisitionboards in a desktop computer; Transfer of the music therapy responsedata from the sensors to the music therapy response capture dataacquisition boards to a mobile tablet or smart phone through Wi-Fi;Transfer of the music therapy thru Wi-Fi to a separate data storagedevice; Transfer of the music therapy movement, audio and brain responsedata through a cable connection to the data acquisition boards in alaptop computer; Transfer of the music therapy movement, audio and brainresponse data through a cable connection to the data acquisition boardsin a desktop computer; Transfer of the music therapy response data fromthe sensors to the music therapy response capture data acquisitionboards to a mobile tablet or smart phone through a cable connection; 11.Transfer of the music therapy raw or processed data from the devicecontaining the data acquisition boards described in claim 10 such aslaptop, desktop computer, tablet or smart phone to the cloud can takeseveral forms including but not restricted to: Transfer of the rawcaptured data or processed data can be transferred to the cloud using awireless access point or portal; Transfer of the raw captured data orprocesses data can be transferred to the cloud using a cellularconnection; transfer of the data to the cloud can take place thru awired inter connection.
 12. Computer implemented method as part of thesystem described in claim 6: to capture, store, analyze and modify theIndian classical music-based music therapy response data displaying thedata in a dashboard comprising of playing the music therapy playlistthru an audio playback device; capturing the data measured by thesensors in claim 7 through the data acquisition system described inclaim 6; storing the data in a local device or remotely on a data cloudin claim 9; analyzing the data to see if calm range response pattern isobtained to select the Indian classical music compositions playlist inclaim 13, determine the elements of the music therapy waveform in claim14 described in claim 15, modify the playlist using the waveformelements, determine the daily music therapy time described in claim 16and tune the music therapy monthly or before if any deviations areobserved from calm response pattern as described in claim 17; transferthe raw data from the data acquisition to the storage device locally orin the cloud; displaying in a dashboard fashion brain response data,movement data and vocal response data and any deviation from calmresponse state; takes the form of a software program on a desktopcomputer or laptop computer or an “app” on a smartphone or “app” on atablet.
 13. Process and method of selecting Indian classical musiccompositions (ragas) shown in FIG. 1 based on whether they can bring anASD (Autistic Spectrum Disorders) or ADHD (Attention DeficitHyperactivity Disorder) patient to exhibit a “calm range responsepattern” as defined in claim 1 using response of the patient capturedwhile listening to the raga qualitatively thru observations orquantitatively by the system in claim 1 and shown in FIG. 3 and comparedagainst the target “calm state response” pattern unique to the patientto see if the raga elicits the target “calm range response” from thepatient where the process starts with selecting an initial set of 10ragas based on initial observations of the patient's symptoms andpatient's response is studied and then the playlist is played to thepatient and the patient's response is measured qualitatively thruobservations or quantitatively using the system shown in FIG. 3 anddisclosed as the fifth aspect of the innovation or qualitatively thruvisual observations, the patient's response is measured and comparedagainst the patient's calm range response pattern; if the playlistgenerates a calm range response pattern from the patient, then theplaylist is finalized as the therapy playlist and if the selection setdoes not generate a calm response pattern, then the playlistcompositions are replaced by the next 10 ragas; the process is repeateduntil a calm response pattern is generated and the playlist is thenfinalized as the starting music therapy playlist prior to being tailoredfor the patient.
 14. A tailored music therapy waveform approachdescribed in claim 1 and shown in FIG. 2 unique to the patient can beused to modify the raga compositions in the playlist described in claim13 by changing the note levels, rhythm pattern frequencies, hold, rampup and ramp down times (how quickly note levels are changed from onelevel to another) and using one of three but not limited to 3 rhythmpatterns Kaharba (8 beat pattern), Ek Taal (12 beat pattern) and TeenTaal (16 beat pattern) which when then played to the patient can producethe target “calm state response in the patient; the changes can be donemanually or by using the same computer implemented method described inclaim 12 or a separate software program implemented on a desktopcomputer or laptop computer or as an “app” on a smartphone or as “app”on a tablet; the music therapy waveform is comprised of a modifying theplaylist melody composition frequencies to the optimum rhythm patternfrequency, starting sound level optimized for the patient, ramp up insound level of the playlist to the optimum sound level, hold at theoptimum sound level and then ramp down to the starting sound level andthis is then repeated for the optimized listening time; this musictherapy waveform approach can be used to modify compositions from othergenres such as western classical music, jazz etc. to induce “calm rangeresponse pattern” in ASD and ADHD patients.
 15. Process and method shownin FIGS. 4A,4B,4C,4D,4E and 4F, for determining the various elements ofthe tailored music therapy waveform (claim 1) discussed in claim 14,shown in FIG. 2 and described in the seventh aspect of the innovationwhere elements allowable note level L2, ramp up time from note level L1to L2, melody hold time T3 at note level L2, melody ramp down T4, rhythmpattern selection and rhythm pattern frequency per minute are selectedby starting from initial levels of each of these parametersindividually, playing the modified compositions to the patient,measuring response of the patient qualitatively thru observations orquantitatively using the system shown in FIG. 3 and described in claim 6and comparing the response to the target calm response pattern anditerating individually on each parameter as shown in FIGS.4A,4B,4C,4D,4E and 4F until the patient exhibits the calm range responsepattern; the process can also be carried out iterating with combinationsof the elements to speed up the process; the process is implemented withcomputer-based method described in claim claim
 12. 16. Process andmethod shown in FIG. 5 for determining the daily therapy time describedin claim 1 where the playlist modified to the therapy waveform describedin claim 14 is played to the patient starting off initially for 5 minsand then response is measured qualitatively thru visual observations orquantitatively using the system shown in FIG. 3 and disclosed as thefifth aspect of the invention, response is then compared against thetarget calm measured response thru observations or using the computerimplemented method described in claim 12 and if calm range responsepattern is observed the listening time is finalized as the minimumlistening time and if the calm range response pattern is not obtained,then the listening time is increased in steps of 5 mins or a timeincrement suitable for the patient based on observation and the processis repeated till a calm range response pattern is obtained which thenbecomes the minimum listening time and then the listening time is thensteadily increased in steps of 5 mins and the patient's response ismeasured qualitatively using visual observation or the system describedin FIG. 3; if a calm range response pattern is obtained, then thelistening time is increased, and the process is repeated as shown inFIG. 5; if the response deviates from the calm range response pattern,then the maximum listening time is fixed at the previous increment. 17.Process and method described in claim 1 and shown in FIG. 6, to tune thetherapy monthly or before if deviations from “calm range responsepattern” are observed where the data collected qualitatively thru visualobservation or quantitatively using the system in claim 6 and shown inFIG. 3 and disclosed as the fifth aspect of the invention, is analyzedmanually or by the computer implemented method or software program inclaim 12 or by other analysis program to see if deviations from “calmrange response” is present. If no deviations are detected, then themusic therapy playlist is continued to be used. If deviations arepresent in the data then a new playlist is developed using the processin claim 13, a new music therapy waveform is developed for the patientusing the process in claim 15 and a new daily listening time isdeveloped using the process in claim 16 and then the response to thetherapy is compared against the target calm range response qualitativelythru visual observation or quantitatively using the system in claim 6and shown in FIG. 3 and disclosed as the fifth aspect of the inventionand the computer implemented method and software program described inclaim 12 and if calm range response is obtained then the music therapyfor the next month comprising of the new playlist, new music therapywaveform and new daily listening time is finalized for the next monthand if calm range response is not obtained, then all three parametersare modified till such calm range response is obtained.